In this paper, the universal approximation property of one of the most frequently used type of fuzzy systems is proved. The type of fuzzy system in the present work employs triangle-shaped fuzzy membership functions (TSMF) for its input variables. The proof of the universal approximation property does not use the Stone-Weierstrass theorem because the TSMFs are not closed for the product; instea...

Introduction: Automatic detection of blood components is an important topic in the fi eld of hematology. Segmentation is an important step because it allows components to be grouped into common areas and processed separately. This paper proposes a method for the automatic segmentation and classifi cation of blood components in microscopic images using a general and automatic fuzzy approach. Met...

abstract— in this paper, a new extended method of multi criteria decision making based on fuzzy-topsis theory is introduced. fuzzy mcdm algorithm for determining the best choice among all possible choices when the data are fuzzy is also presented. using a new index leads to procedure for choosing fuzzy ideal and negative ideal solutions directly from the fuzzy data observed alternatives.in this...

We describe a new symmetry-based derivation of centroid defuzziication. The Need for Defuzziication. Fuzzy logic and fuzzy control start with the knowledge expressed by experts in terms of words from a natural language, and end up with control or decision recommendations; see, e.g., 1, 2, 4]. As a result of the standard fuzzy control methodology, we get a fuzzy set (membership function) (u) whi...

species selection based on a new method such as a fuzzy method is one of the most important stages in the successful plantation management planning as choosing a suitable species for the site can be the key to success. this paper is based on a fuzzy extension of the technique or order preference which is similar to ideal solution (topsis) method. the purpose of this paper is to develop fuzzy to...

Abstract Picture fuzzy set (PFS) can intuitively express the answers of “yes”, “neutral”, “no” and “reject”, which have strong advantages in solving uncertain information. The similarity measure is an effective tool to determine relationship between two picture sets (PFSs). In this paper, we propose a hybrid (PF) combines Hamming distance transformed tetrahedral centroid verifies that it satisf...

Dominance measuring methods are an approach to deal with complex decisionmaking problems with imprecise information. These methods are based on the computation of pairwise dominance values and exploit the information in the dominance matrix in different ways to derive measures of dominance intensity and rank the alternatives under consideration. In this paper we propose a new dominance measurin...